Influencer transgressions can disappoint their followers. However, there is a lack of clarity about the effects of a false allegation on an influencer–follower relationship. Drawing from cognitive dissonance and moral reasoning theory, the current study aims to examine how this relationship is shaped across three time periods (before the allegation is leveled, after the allegation is leveled, and when the allegation is found to be baseless).
Design/methodology/approach
We study comments posted by followers of two falsely alleged social media influencers (SMI) on their YouTube and Instagram channels. Latent Dirichlet allocation (LDA) followed by netnography is used for thematic analysis. LDA is a social media topic modeling method that processes a statistically representative set of words to explain the tone and tenor of qualitative conversations. A sentiment analysis of the comments is done using SentiStrength.
Findings
When an allegation is leveled initially, the response from followers is overwhelmingly negative toward the influencer owing to moral coupling. However, when the allegations are proven to be false, the followers return to a positive opinion of the influencer, owing to feelings of dissonance and guilt.
Practical implications
The study contributes to the fields of influencer marketing, cognitive dissonance and moral reasoning. It highlights how endorsers can take advantage of the positive sentiment that arises once an accused SMI’s transgression is proven false.
Originality/value
This study introduces the concept of “Sentiment Reversal,” which is exhibited in the social media space. In this phenomenon, sentiments move from negative to positive toward the falsely accused SMI as they are vindicated of the previous charge.
{"title":"“I am sorry for judging you”: conceptualizing sentiment reversal among followers in case of falsely alleged social media influencer transgression","authors":"Ishaan Sengupta, Kokil Jain, Arpan Kumar Kar, Isha Sharma","doi":"10.1108/intr-08-2023-0649","DOIUrl":"https://doi.org/10.1108/intr-08-2023-0649","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Influencer transgressions can disappoint their followers. However, there is a lack of clarity about the effects of a false allegation on an influencer–follower relationship. Drawing from cognitive dissonance and moral reasoning theory, the current study aims to examine how this relationship is shaped across three time periods (before the allegation is leveled, after the allegation is leveled, and when the allegation is found to be baseless).</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>We study comments posted by followers of two falsely alleged social media influencers (SMI) on their YouTube and Instagram channels. Latent Dirichlet allocation (LDA) followed by netnography is used for thematic analysis. LDA is a social media topic modeling method that processes a statistically representative set of words to explain the tone and tenor of qualitative conversations. A sentiment analysis of the comments is done using SentiStrength.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>When an allegation is leveled initially, the response from followers is overwhelmingly negative toward the influencer owing to moral coupling. However, when the allegations are proven to be false, the followers return to a positive opinion of the influencer, owing to feelings of dissonance and guilt.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The study contributes to the fields of influencer marketing, cognitive dissonance and moral reasoning. It highlights how endorsers can take advantage of the positive sentiment that arises once an accused SMI’s transgression is proven false.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study introduces the concept of “Sentiment Reversal,” which is exhibited in the social media space. In this phenomenon, sentiments move from negative to positive toward the falsely accused SMI as they are vindicated of the previous charge.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"17 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1108/intr-07-2023-0595
Xiaoyu Chen, Alton Y.K. Chua
Purpose
This study examines the phenomenon of “knowledge influencers,” individuals who convey expert information to non-expert audiences and attract users to subscribe to their self-created knowledge products. It seeks to address two research questions: (1) What are the antecedents that promote perceived attractiveness of knowledge influencers? and (2) How does perceived attractiveness of knowledge influencers affect users’ willingness to subscribe to knowledge products?
Design/methodology/approach
Guided by self-branding theory, which suggests that individuals strategically shape user perceptions and interactions to create an appealing image, the study employed a sequential mixed-methods approach. Qualitative interviews were conducted with knowledge influencers and their subscribers, followed by a quantitative survey of users with knowledge subscription experience to validate the findings.
Findings
Results suggested that knowledge influencers could enhance their attractiveness to users by promoting perceived professionalism, perceived familiarity, and perceived connectedness. Perceived attractiveness of knowledge influencers could directly affect users’ willingness to subscribe or indirectly through the role of users’ attachment to knowledge influencers.
Practical implications
By understanding the factors driving users’ subscription intentions, platform operators and influencers can refine their strategies to enhance user attachment and optimize monetization opportunities through personalized interactions and tailored content offerings.
Originality/value
This study contributes to the literature by elucidating the relationship between perceived attractiveness and users’ subscription intentions, offering new insights into the dynamics of online knowledge consumption.
{"title":"From attraction to monetization: How do knowledge influencers trigger users’ willingness to subscribe to knowledge products?","authors":"Xiaoyu Chen, Alton Y.K. Chua","doi":"10.1108/intr-07-2023-0595","DOIUrl":"https://doi.org/10.1108/intr-07-2023-0595","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study examines the phenomenon of “knowledge influencers,” individuals who convey expert information to non-expert audiences and attract users to subscribe to their self-created knowledge products. It seeks to address two research questions: (1) What are the antecedents that promote perceived attractiveness of knowledge influencers? and (2) How does perceived attractiveness of knowledge influencers affect users’ willingness to subscribe to knowledge products?</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Guided by self-branding theory, which suggests that individuals strategically shape user perceptions and interactions to create an appealing image, the study employed a sequential mixed-methods approach. Qualitative interviews were conducted with knowledge influencers and their subscribers, followed by a quantitative survey of users with knowledge subscription experience to validate the findings.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Results suggested that knowledge influencers could enhance their attractiveness to users by promoting perceived professionalism, perceived familiarity, and perceived connectedness. Perceived attractiveness of knowledge influencers could directly affect users’ willingness to subscribe or indirectly through the role of users’ attachment to knowledge influencers.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>By understanding the factors driving users’ subscription intentions, platform operators and influencers can refine their strategies to enhance user attachment and optimize monetization opportunities through personalized interactions and tailored content offerings.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study contributes to the literature by elucidating the relationship between perceived attractiveness and users’ subscription intentions, offering new insights into the dynamics of online knowledge consumption.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"11 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.1108/intr-08-2022-0691
Runge Zhu, Cheng Yi
PurposeThrough the lens of self-perception theory, this paper investigates how avatar design (i.e. avatar user similarity) affects users' self-awareness and shapes their task engagement and performance in the Metaverse.Design/methodology/approachThe authors conducted a 2 (avatar user similarity: high vs low) × 2 (task type: procedural vs creative) lab experiment and collected data from questionnaires, the recording of users' behavior during tasks and their actual task performance.FindingsThe results show that higher avatar user similarity leads to higher task engagement in general. Furthermore, while a similar avatar promotes users to regulate their behaviors and achieve better performance in a procedural task, high similarity also inhibits users' creativity by invoking habitual thinking, resulting in worse performance in generating original ideas in a creative task.Originality/valueThis study is expected to contribute to the information systems literature by revealing the value of avatar design and providing new perspectives on improving users' experiences in the Metaverse.
{"title":"Avatar design in Metaverse: the effect of avatar-user similarity in procedural and creative tasks","authors":"Runge Zhu, Cheng Yi","doi":"10.1108/intr-08-2022-0691","DOIUrl":"https://doi.org/10.1108/intr-08-2022-0691","url":null,"abstract":"PurposeThrough the lens of self-perception theory, this paper investigates how avatar design (i.e. avatar user similarity) affects users' self-awareness and shapes their task engagement and performance in the Metaverse.Design/methodology/approachThe authors conducted a 2 (avatar user similarity: high vs low) × 2 (task type: procedural vs creative) lab experiment and collected data from questionnaires, the recording of users' behavior during tasks and their actual task performance.FindingsThe results show that higher avatar user similarity leads to higher task engagement in general. Furthermore, while a similar avatar promotes users to regulate their behaviors and achieve better performance in a procedural task, high similarity also inhibits users' creativity by invoking habitual thinking, resulting in worse performance in generating original ideas in a creative task.Originality/valueThis study is expected to contribute to the information systems literature by revealing the value of avatar design and providing new perspectives on improving users' experiences in the Metaverse.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48053358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-04DOI: 10.1108/intr-07-2022-0487
Seungjong Sun, Jang-Hyun Kim, Kwan Min Lee, Dongyan Nan
PurposeMassive multiplayer online role-playing games (MMORPGs) are representative metaverse games that are thriving in academia and the industry. This study aims to develop an integrated model based on Yee's motivations and the Proteus effect to explore individuals' intentions of playing MMORPGs.Design/methodology/approachThe data were gathered by conducting an online survey (n = 441) for the players of World of Warcraft, an MMORPG. The collected data were analyzed with a structural equation model.FindingsThe outcomes of this research reveal that the Proteus effect positively influenced the intentions of the players to play the game via mediations of social, immersion, achievement motivations and enjoyment. Furthermore, the players influenced by the Proteus effect, which enables avatar embodiment and identification, exhibited a stronger intention to play MMORPGs.Originality/valueThis research is one of the first attempts to establish a theoretical framework involving the Proteus effect and Yee's motivations. In addition, the findings of this study imply that the Proteus effect should be considered when investigating the individual experience of metaverse games.
{"title":"Exploring the association between the Proteus effect and intention to play massive multiplayer online role-playing games (MMORPGs)","authors":"Seungjong Sun, Jang-Hyun Kim, Kwan Min Lee, Dongyan Nan","doi":"10.1108/intr-07-2022-0487","DOIUrl":"https://doi.org/10.1108/intr-07-2022-0487","url":null,"abstract":"PurposeMassive multiplayer online role-playing games (MMORPGs) are representative metaverse games that are thriving in academia and the industry. This study aims to develop an integrated model based on Yee's motivations and the Proteus effect to explore individuals' intentions of playing MMORPGs.Design/methodology/approachThe data were gathered by conducting an online survey (n = 441) for the players of World of Warcraft, an MMORPG. The collected data were analyzed with a structural equation model.FindingsThe outcomes of this research reveal that the Proteus effect positively influenced the intentions of the players to play the game via mediations of social, immersion, achievement motivations and enjoyment. Furthermore, the players influenced by the Proteus effect, which enables avatar embodiment and identification, exhibited a stronger intention to play MMORPGs.Originality/valueThis research is one of the first attempts to establish a theoretical framework involving the Proteus effect and Yee's motivations. In addition, the findings of this study imply that the Proteus effect should be considered when investigating the individual experience of metaverse games.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48320394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.1108/intr-08-2022-0670
Chongyang Chen, Kem Z. K. Zhang, Zhaofang Chu, Matthew Lee
PurposeIn the growing information systems (IS) literature on metaverse, augmented reality (AR) technology is regarded as a cornerstone of the metaverse which enables interaction services. Interaction has been identified as a core technology characteristic of metaverse shopping environments. Based on previous human–technology interaction research, the authors further explicate interaction to be multimodal sensory. The purpose of this study is thus to better understand the unique nature of interaction in AR technology and highlight the technology's benefits for shopping in metaverse spaces.Design/methodology/approachAn experiment has been conducted to empirically examine the authors' research model. The authors use the structural equation modeling (SEM) approach to analyze the collected data.FindingsThis study conceptualizes image, motion and touchscreen interactions as the three dimensions of multimodal sensory interaction, which can reflect visual-, kinesthetic- and haptic-based sensation stimulation. The authors' findings show that multimodal sensory interaction of AR activates consumers' intention to purchase via a psychological process. To delineate this psychological process, the authors use feelings-as-information theory to posit that experiential factors can influence cognitive factors. More specifically, multimodal sensory interaction is shown to increase multisensory experience and spatial presence, which can effectively reduce product uncertainty and information overload. The two outcomes have been considered to be key issues in online shopping environments.Originality/valueThis study is one of the first ones that shed light on the multimodal sensory peculiarity of AR interactions in the extant IS literature. The authors further highlight the benefits of AR in addressing major online shopping concerns about product uncertainty and information overload, which are largely overlooked by prior research. This study uses feelings-as-information theory to explain the impacts of AR interactions, which reveal the essential role of the experiential process in sensory-enabling technologies. This study enriches the existing theoretical frameworks that mostly focus on the cognitive process. The authors' findings about AR interactions provide noteworthy guidelines for the design of metaverse environments and extend the authors' understanding of how the metaverse may bring benefits beyond traditional online shopping settings.
{"title":"Augmented reality in the metaverse market: the role of multimodal sensory interaction","authors":"Chongyang Chen, Kem Z. K. Zhang, Zhaofang Chu, Matthew Lee","doi":"10.1108/intr-08-2022-0670","DOIUrl":"https://doi.org/10.1108/intr-08-2022-0670","url":null,"abstract":"PurposeIn the growing information systems (IS) literature on metaverse, augmented reality (AR) technology is regarded as a cornerstone of the metaverse which enables interaction services. Interaction has been identified as a core technology characteristic of metaverse shopping environments. Based on previous human–technology interaction research, the authors further explicate interaction to be multimodal sensory. The purpose of this study is thus to better understand the unique nature of interaction in AR technology and highlight the technology's benefits for shopping in metaverse spaces.Design/methodology/approachAn experiment has been conducted to empirically examine the authors' research model. The authors use the structural equation modeling (SEM) approach to analyze the collected data.FindingsThis study conceptualizes image, motion and touchscreen interactions as the three dimensions of multimodal sensory interaction, which can reflect visual-, kinesthetic- and haptic-based sensation stimulation. The authors' findings show that multimodal sensory interaction of AR activates consumers' intention to purchase via a psychological process. To delineate this psychological process, the authors use feelings-as-information theory to posit that experiential factors can influence cognitive factors. More specifically, multimodal sensory interaction is shown to increase multisensory experience and spatial presence, which can effectively reduce product uncertainty and information overload. The two outcomes have been considered to be key issues in online shopping environments.Originality/valueThis study is one of the first ones that shed light on the multimodal sensory peculiarity of AR interactions in the extant IS literature. The authors further highlight the benefits of AR in addressing major online shopping concerns about product uncertainty and information overload, which are largely overlooked by prior research. This study uses feelings-as-information theory to explain the impacts of AR interactions, which reveal the essential role of the experiential process in sensory-enabling technologies. This study enriches the existing theoretical frameworks that mostly focus on the cognitive process. The authors' findings about AR interactions provide noteworthy guidelines for the design of metaverse environments and extend the authors' understanding of how the metaverse may bring benefits beyond traditional online shopping settings.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42474186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-29DOI: 10.1108/intr-07-2022-0565
Kate L. Daunt, Dominique A. Greer, Hyun Seung Jin, Isabella Orpen
PurposeUnderstanding individual susceptibility to political fake news is critical because fake news can target specific psychological profiles of vulnerable individuals. Consequently, this research examines five individual risk (i.e. susceptibility) and resilience (i.e. protective) factors, conspiracy mentality, patriotism, perceived threat to freedom, media literacy and concern for disinformation, to determine if they inform belief in political fake news and subsequently, to what degree belief impacts private engagement with political fake news.Design/methodology/approachUsing a fictional political fake news stimulus, the authors conducted a deductive thematic analysis of 10 semi-structured interviews and an online survey of 722 United Kingdom (UK) citizens analysed using structural equation modelling.FindingsConspiracy mentality and patriotism were positively associated with belief in political fake news, while media literacy and concern for disinformation were negatively associated with belief in political fake news. Perceived threat to freedom was a strong theme in the qualitative data but had no statistical effect on belief in political fake news. Belief in political fake news was positively associated with further engagement with the fake news story, acting as a mediator in the model.Originality/valueDistinct from previous research that focuses on partisanship and sharing behaviour, this research forwards a model underpinned by social identity theory to build an integrated understanding of political fake news belief. The results demonstrate that political identity motivations beyond partisanship are salient when examining individual susceptibility to political fake news and that belief in political fake news plays a core role in understanding subsequent private engagement with the story.
{"title":"Who believes political fake news? The role of conspiracy mentality, patriotism, perceived threat to freedom, media literacy and concern for disinformation","authors":"Kate L. Daunt, Dominique A. Greer, Hyun Seung Jin, Isabella Orpen","doi":"10.1108/intr-07-2022-0565","DOIUrl":"https://doi.org/10.1108/intr-07-2022-0565","url":null,"abstract":"PurposeUnderstanding individual susceptibility to political fake news is critical because fake news can target specific psychological profiles of vulnerable individuals. Consequently, this research examines five individual risk (i.e. susceptibility) and resilience (i.e. protective) factors, conspiracy mentality, patriotism, perceived threat to freedom, media literacy and concern for disinformation, to determine if they inform belief in political fake news and subsequently, to what degree belief impacts private engagement with political fake news.Design/methodology/approachUsing a fictional political fake news stimulus, the authors conducted a deductive thematic analysis of 10 semi-structured interviews and an online survey of 722 United Kingdom (UK) citizens analysed using structural equation modelling.FindingsConspiracy mentality and patriotism were positively associated with belief in political fake news, while media literacy and concern for disinformation were negatively associated with belief in political fake news. Perceived threat to freedom was a strong theme in the qualitative data but had no statistical effect on belief in political fake news. Belief in political fake news was positively associated with further engagement with the fake news story, acting as a mediator in the model.Originality/valueDistinct from previous research that focuses on partisanship and sharing behaviour, this research forwards a model underpinned by social identity theory to build an integrated understanding of political fake news belief. The results demonstrate that political identity motivations beyond partisanship are salient when examining individual susceptibility to political fake news and that belief in political fake news plays a core role in understanding subsequent private engagement with the story.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44719048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-24DOI: 10.1108/intr-08-2022-0657
Lai-Ying Leong, Teck-Soon Hew, K. Ooi, Nick Hajli, G. Tan
PurposeSocial commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).Design/methodology/approachIn the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.FindingsFrom 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.Practical implicationsThe SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.Originality/valueThe authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.
{"title":"Revisiting the social commerce paradigm: the social commerce (SC) framework and a research agenda","authors":"Lai-Ying Leong, Teck-Soon Hew, K. Ooi, Nick Hajli, G. Tan","doi":"10.1108/intr-08-2022-0657","DOIUrl":"https://doi.org/10.1108/intr-08-2022-0657","url":null,"abstract":"PurposeSocial commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).Design/methodology/approachIn the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.FindingsFrom 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.Practical implicationsThe SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.Originality/valueThe authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46075118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-15DOI: 10.1108/intr-07-2022-0578
Myojung Chung
PurposeWhile there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect.Design/methodology/approachFour national surveys in the USA (N = 1,415), the UK (N = 1,435), South Korea (N = 1,798) and Mexico (N = 784) were conducted between April and September 2021. The survey questionnaire measured algorithmic knowledge, perceived influence of misinformation on self and others, intention to take corrective actions, support for government regulation and content moderation. Collected data were analyzed using multigroup SEM.FindingsResults indicate that algorithmic knowledge was associated with presumed influence of misinformation on self and others to different degrees. Presumed media influence on self was a strong predictor of intention to take actions to correct misinformation, while presumed media influence on others was a strong predictor of support for government-led platform regulation and platform-led content moderation. There were nuanced but noteworthy differences in the link between presumed media influence and behavioral responses across the four countries studied.Originality/valueThese findings are relevant for grasping the role of algorithmic knowledge in countering rampant misinformation on social media, as well as for expanding US-centered extant literature by elucidating the distinctive views regarding social media algorithms and misinformation in four countries.
{"title":"What's in the black box? How algorithmic knowledge promotes corrective and restrictive actions to counter misinformation in the USA, the UK, South Korea and Mexico","authors":"Myojung Chung","doi":"10.1108/intr-07-2022-0578","DOIUrl":"https://doi.org/10.1108/intr-07-2022-0578","url":null,"abstract":"PurposeWhile there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect.Design/methodology/approachFour national surveys in the USA (N = 1,415), the UK (N = 1,435), South Korea (N = 1,798) and Mexico (N = 784) were conducted between April and September 2021. The survey questionnaire measured algorithmic knowledge, perceived influence of misinformation on self and others, intention to take corrective actions, support for government regulation and content moderation. Collected data were analyzed using multigroup SEM.FindingsResults indicate that algorithmic knowledge was associated with presumed influence of misinformation on self and others to different degrees. Presumed media influence on self was a strong predictor of intention to take actions to correct misinformation, while presumed media influence on others was a strong predictor of support for government-led platform regulation and platform-led content moderation. There were nuanced but noteworthy differences in the link between presumed media influence and behavioral responses across the four countries studied.Originality/valueThese findings are relevant for grasping the role of algorithmic knowledge in countering rampant misinformation on social media, as well as for expanding US-centered extant literature by elucidating the distinctive views regarding social media algorithms and misinformation in four countries.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43444316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-10DOI: 10.1108/intr-06-2022-0395
Richard Gruss, David M. Goldberg, Nohel Zaman, Alan S. Abrahams
PurposeThe widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about potential product safety hazards at the point of sale.Design/methodology/approachIn this study, the authors built four candidate designs and assessed their effectiveness by means of a large randomized controlled experiment (n = 466). The authors define effectiveness as significant changes in dependent variables associated with health behaviors and technology adoption.FindingsThe authors find that all of the designs score high on adoption likelihood, that designs incorporating highlighting and scoring are better at increasing safety knowledge and that simpler designs are better at enhancing safety awareness.Originality/valueThese findings will inform the design of safety information dissemination systems and open new areas of safety awareness enhancement research. More generally, the authors introduce a novel method of testing text visualization variations and their impact on behavioral decisions.
{"title":"Bringing safety analytics to the online shopper: evaluating designs for augmenting point-of-sale interfaces with safety information","authors":"Richard Gruss, David M. Goldberg, Nohel Zaman, Alan S. Abrahams","doi":"10.1108/intr-06-2022-0395","DOIUrl":"https://doi.org/10.1108/intr-06-2022-0395","url":null,"abstract":"PurposeThe widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about potential product safety hazards at the point of sale.Design/methodology/approachIn this study, the authors built four candidate designs and assessed their effectiveness by means of a large randomized controlled experiment (n = 466). The authors define effectiveness as significant changes in dependent variables associated with health behaviors and technology adoption.FindingsThe authors find that all of the designs score high on adoption likelihood, that designs incorporating highlighting and scoring are better at increasing safety knowledge and that simpler designs are better at enhancing safety awareness.Originality/valueThese findings will inform the design of safety information dissemination systems and open new areas of safety awareness enhancement research. More generally, the authors introduce a novel method of testing text visualization variations and their impact on behavioral decisions.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47026166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-02DOI: 10.1108/intr-09-2022-0707
Kalanit Efrat, Shaked Gilboa, A. Wald, Rotem Shneor
PurposeDespite the critical contribution of serial backers in advancing crowdfunding volumes, few studies have addressed the phenomenon of serial backing. Research on the motivations of backers suggests that cognitive antecedents influence pledging in crowdfunding projects according to the theory of planned behavior. However, intrinsic factors associated with different dimensions of well-being may also explain crowdfunding support. This study seeks to advance the understanding of drivers of serial backing by combining the theory of planned behavior and the theory of well-being.Design/methodology/approachThe study draws on survey data from 336 serial backers, complemented by objective data on the number of campaigns and amounts invested by backers from Headstart, the largest crowdfunding platform in Israel. The research model is tested using structural equation modeling.FindingsThe findings indicate that the well-being of serial backers mediates the impact of attitude, subjective norms and social norms on their loyalty. However, while loyalty can be explained by elements of both theories, it does not translate into actual serial backing behavior.Originality/valueThis study is the first to systematically explore serial backers' motivations in crowdfunding and the influence of these motivations on their actual behavior. It combines two previously separate theories, the theory of planned behavior and the theory of well-being.
{"title":"Loyalty and well-being explain serial crowdfunding backing behavior: an empirical test of complementary theories","authors":"Kalanit Efrat, Shaked Gilboa, A. Wald, Rotem Shneor","doi":"10.1108/intr-09-2022-0707","DOIUrl":"https://doi.org/10.1108/intr-09-2022-0707","url":null,"abstract":"PurposeDespite the critical contribution of serial backers in advancing crowdfunding volumes, few studies have addressed the phenomenon of serial backing. Research on the motivations of backers suggests that cognitive antecedents influence pledging in crowdfunding projects according to the theory of planned behavior. However, intrinsic factors associated with different dimensions of well-being may also explain crowdfunding support. This study seeks to advance the understanding of drivers of serial backing by combining the theory of planned behavior and the theory of well-being.Design/methodology/approachThe study draws on survey data from 336 serial backers, complemented by objective data on the number of campaigns and amounts invested by backers from Headstart, the largest crowdfunding platform in Israel. The research model is tested using structural equation modeling.FindingsThe findings indicate that the well-being of serial backers mediates the impact of attitude, subjective norms and social norms on their loyalty. However, while loyalty can be explained by elements of both theories, it does not translate into actual serial backing behavior.Originality/valueThis study is the first to systematically explore serial backers' motivations in crowdfunding and the influence of these motivations on their actual behavior. It combines two previously separate theories, the theory of planned behavior and the theory of well-being.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":" ","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46220828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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